Friday, February 8, 2008 at 12:15 PM in HA 274
John Peach, MIT Lincoln Laboratory
Estimating Rocket Parameters from Flight Data
Join us for a FREE PIZZA LUNCH and talk by NCSU alum John Peach. John will be available after his talk for questions about MIT Lincoln Lab career opportunities and will be at the Engineering Career Fair all day Thursday, February 7th.
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Position and velocity measurements of a missile during the boost phase of flight permit estimates of the motor I_{SP} (a measure of motor efficiency) and mass ratio (mass burn rate to initial mass). From these, bounds may be developed for possible trajectories over the remainder of the flight. Good estimates of the parameters also allows estimates of the launch location and time. The ability to infer launch and terminal strike locations of a missile during boost greatly enhances the warfighters capability to defend against the threat.Wednesday, April 16, 2008 at 3:30 PM in HA 274
Kelly Dickson, NCSU
SIAM Chapter Meeting
Please join us for the last SIAM Chapter meeting for the spring term. This is an important meeting as we will be voting on new officers and discussing events for the upcoming academic year. As usual, we will provide snacks!Thursday, April 24, 2008 at 4:30 PM in HA 274
Brian Adams, Sandia National Laboratories
Opportunities in Computational Applied Mathematics at Sandia National Laboratories
Through this presentation I will relate my 2-1/2 year experience working in a mathematics and computer science research group at Sandia, a national security laboratory. The broad mission areas of the lab foster research in disciplines including engineering, materials, bioscience, energy and water, infrastructure security, scalable scientific computation, and beyond. Opportunities in computational mathematics span from theory through algorithms and software to applications of national importance.
Through two examples I will demonstrate the potential mix of theory and applications work possible in this environment: (1) A social contact network-based model for early epoch simulation of disease outbreaks and bioterror incidents, which uses agent-based simulation, reduced-order modeling, graph analysis, and scalable parallelism; and (2) DAKOTA, an open-source software suite for optimization, sensitivity analysis, and uncertainty quantification. In particular, DAKOTA's reliability analysis methods employ a mix of probability, optimization, and surrogate (meta-) modeling; I will demonstrate their application to robust micro-electro-mechanical system design.
While some technical details will be offered, the majority of this talk will be accessible to graduate and advanced undergraduate students with interest in mathematics, computer science, or statistics.
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Seminar Organizer: Kelly Dickson